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Part 1 — Set Up GitHub Action Runners on a ComputeBlade Cluster with Shared Cache Storage

· 6 min read
Nick DiZazzo
Software Engineer

Discover how to leverage Compute Blades for building high-performance, cost-effective continuous integration and deployment pipelines. This comprehensive guide explores cluster specifications, optimization strategies, and best practices for achieving faster, more reliable builds while maintaining security and control over your infrastructure.

19in ComputeBlade rack from the back showing the Fan Units

Unleashing the Power: M.2 Slot Capabilities

· 5 min read
Ivan Kuleshov
Founder & Chief Technology Officer

Exploring the versatile capabilities of ComputeBlade's M.2 expansion port and its support for various devices. We'll take a closer look at NVMe drives support, AI accelerators, FPGAs, Network cards and Graphic cards. For advanced users we will show the difference between PCIe 2.0 and PCIe 3.0 and how to enable it on Raspberry Pi Compute Module 5.

Two blades holiday

Auto-Reboot in case of problems

· 5 min read
Ivan Kuleshov
Founder & Chief Technology Officer

Not everyone knows that the Raspberry Pi CPU has a built-in Watchdog.

It's basically a time bomb that will reboot the CPU if its timer is not reset. And the operating system, in case of normal operation, sends a reset command every preset time interval. It's just a great solution and surprisingly easy and flexible to customize.

blade cluster

System setup process

· 4 min read
Grigorii Merkushev
Head of Software

This guide outlines the complete process for setting up a Kubernetes system using MicroK8s, a lightweight Kubernetes distribution. The setup includes essential components like kubectl and Helm, along with necessary configurations for running containerized applications.

19in Rack with compute blades